%PDF-1.4 % 5 0 obj << /S /GoTo /D (abstract.1) >> endobj 8 0 obj (Abstract) endobj 9 0 obj << /S /GoTo /D (section.1) >> endobj 12 0 obj (Introduction) endobj 13 0 obj << /S /GoTo /D (section.2) >> endobj 16 0 obj (General methodology) endobj 17 0 obj << /S /GoTo /D (section.3) >> endobj 20 0 obj (Extracting seasonal patterns from time series) endobj 21 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 24 0 obj (Fourier-based time series decomposition) endobj 25 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 28 0 obj (Parameter estimation and practical use of the model) endobj 29 0 obj << /S /GoTo /D (section.4) >> endobj 32 0 obj (Clustering seasonal profiles) endobj 33 0 obj << /S /GoTo /D (subsection.4.1) >> endobj 36 0 obj (Functional clustering based on FPCA) endobj 37 0 obj << /S /GoTo /D (subsection.4.2) >> endobj 40 0 obj (Fourier regression mixture model) endobj 41 0 obj << /S /GoTo /D (subsubsection.4.2.1) >> endobj 44 0 obj (Model definition) endobj 45 0 obj << /S /GoTo /D (subsubsection.4.2.2) >> endobj 48 0 obj (EM algorithm and practical issues) endobj 49 0 obj << /S /GoTo /D (section.5) >> endobj 52 0 obj (Experimental study using real data) endobj 53 0 obj << /S /GoTo /D (subsection.5.1) >> endobj 56 0 obj (Description of the data set) endobj 57 0 obj << /S /GoTo /D (subsection.5.2) >> endobj 60 0 obj (Selecting the number of clusters) endobj 61 0 obj << /S /GoTo /D (subsection.5.3) >> endobj 64 0 obj (Results interpretation and discussion) endobj 65 0 obj << /S /GoTo /D (section.6) >> endobj 68 0 obj (Conclusions and perspectives) endobj 69 0 obj << /S /GoTo /D (dataavailability.1) >> endobj 72 0 obj (Data availability) endobj 73 0 obj << /S /GoTo /D (competinginterests.1) >> endobj 76 0 obj (Competing interests) endobj 77 0 obj << /S /GoTo /D (sistatement.1) >> endobj 80 0 obj (Special issue statement) endobj 81 0 obj << /S /GoTo /D (acknowledgements.1) >> endobj 84 0 obj (Acknowledgements) endobj 85 0 obj << /S /GoTo /D (biblio.1) >> endobj 88 0 obj (References) endobj 89 0 obj << /S /GoTo /D [90 0 R /Fit ] >> endobj 121 0 obj << /Length 3766 /Filter /FlateDecode >> stream xڭZYsF~RU"b^'v}PDhQ__tlrɘiM؋x¶knŻ\x6 ~,Jw:*[|Ӝ`YT_N|{vy#F.ׅu*MF|rW>ө]ۉt8VmW/_fuaKǶ'_f'ەc`u@^,pv˾';[V3_mVZ<{-,$3mR>qi< Ǚ]t\8^7yPݮth梮dijli|_Odϯ^8X^8ĵ|CEd;g~/U^Y~- d36LyD||2Z~U%>XMpB&I8IYn~,_-}oƔ廁uv4fceIb+r-IJ \2SS.e']~X)R17 $gZű兴F`%ź.SQ`/_obw_gtƐ³B'-7,ʯwE蚁$xQ-zVu/tV <VUz]8U֤J: ,E5Zo[y>!r''b;u3RWŗ^eϼ=ȶx7oNaŠ3: O5o5?8He7穪L0&ֹ{% \zCnosOl:ߏy6~L+vCx8[;>y蟪B6(: ҦhW9WW'<0:/> ԿLW",in=T~ԡVnh39c]UYN;#vߟRiH<-ݦڏ^eZT#gNۣd.x_MsE@<0cgWGXs1+:2k])%b,|5) AU:SJ ުY`-֛]m+Kn'Ss!WTq^ú;_E=8ֹnO,Wo/k@tY]FkN$iIφ) |f,C=fA]Ѳ %V9_j> ҄|Iz#OF3ļ[a!l=b7S_03Y\"푑92oHl]y]>oR:2s]5=Eggu߬VWĉ}(C#mn,2C2zN7d%]n+='9#ި 7yY{pF:m9!Jiΐ D853CÅNw};.^d+SyШw{9Fvu4}VB ;7f7 s0gGsL"@wn,ۚeS&g?|J>!=